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- research-articleSeptember 2024
Distributed hypothesis testing for large dimensional two-sample mean vectors
Statistics and Computing (KLU-STCO), Volume 34, Issue 6https://doi.org/10.1007/s11222-024-10489-3AbstractThe advent of the big data era has brought massive datasets to the forefront of academic and industrial discussions. Due to the high communication cost and long calculation time, traditional statistical methods may be difficult to process data ...
- research-articleApril 2024
Computer-aided investigation of Traditional Chinese Medicine mechanisms: A case study of San-Ao decoction in asthma treatment
Computers in Biology and Medicine (CBIM), Volume 169, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.107868AbstractThe San-Ao Decoction (SAD) is a well-known Traditional Chinese Medicine (TCM) formula used to alleviate respiratory symptoms, including asthma. However, its precise mechanisms of action have remained largely unknown. In this study, we utilized ...
Highlights- The study determined 28 main ingredients through LC-MS.
- The study predicted potential binding sites (D509, D647) of the main components on TRPV1 and evaluated them.
- The study proposed allosteric (D509) conformational changes of ...
- research-articleMay 2024
ParaFuzz: an interpretability-driven technique for detecting poisoned samples in NLP
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 2914, Pages 66755–66767Backdoor attacks have emerged as a prominent threat to natural language processing (NLP) models, where the presence of specific triggers in the input can lead poisoned models to misclassify these inputs to predetermined target classes. Current detection ...
- research-articleOctober 2023
Causal embedding of user interest and conformity for long-tail session-based recommendations
Information Sciences: an International Journal (ISCI), Volume 644, Issue Chttps://doi.org/10.1016/j.ins.2023.119167AbstractSession-based recommendation is misleading by popularity bias and always favors short-head items with more popularity. This paper studies a new causal-based framework CauTailReS to increase the diversity of session recommendations. We first ...
- research-articleJune 2023
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism
Computers in Biology and Medicine (CBIM), Volume 160, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106935AbstractThe rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) around the world affects the normal lives of people all over the world. The computational methods can be used to accurately identify SARS-CoV-2 phosphorylation ...
Highlights- A novel method (DE-MHAIPs) is used to predict anti-coronavirus peptides.
- The AAindex, DDE, CTD, PseAAC, EAAC, and BLOSUM62 methods are fused to extract proteins sequence features information.
- The Group LASSO is used to screen ...
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- research-articleMarch 2023
CrossFix: Resolution of GitHub issues via similar bugs recommendation
Journal of Software: Evolution and Process (WSMR), Volume 36, Issue 4https://doi.org/10.1002/smr.2554SummaryWith the increasing popularity of Open‐Source Software (OSS), the number of GitHub issues reported daily in these OSS projects has been growing rapidly. To resolve these issues, developers need to spend time and effort in debugging and fixing ...
Our study redefines similar bugs as bugs that share the (1) same libraries, (2) same functionalities, (3) same reproduction steps, (4) same configurations, (5) same outcomes, or (6) same errors. Based on our study, we proposed CrossFix, a tool that ...
- research-articleMarch 2022
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
Knowledge-Based Systems (KNBS), Volume 240, Issue Chttps://doi.org/10.1016/j.knosys.2022.108191AbstractMalonylation is a new protein post-translational modification and regulates a variety of cellular physiological processes. However, it is costly and time-consuming to identify malonylation sites through traditional experiments. ...
Highlights- A novel method (Malsite-Deep) is used to predict malonylation sites.
- The BE, ...
- doctoral_thesisJanuary 2022
Efficient Power Management Circuit Techniques
AbstractPower management integrated circuits (PMICs) are crucial components in electronic devices. Among which, DC-DC converters and low-dropout regulators (LDOs) are widely used in battery-powered applications. DC-DC converters feature high efficiency ...
- doctoral_thesisJanuary 2022
Real-Time Monitoring and Optimal Control for Smart Additive Manufacturing
AbstractAdditive manufacturing consists of successive fabrication of materials layer upon layer to manufacture three-dimensional items. Several key problems such as poor quality of finished products and excessive operational costs are yet to be addressed ...
- research-articleDecember 2021
Joint Vehicle Association and Power Allocation for Energy Efficient Connected Automated Vehicles
2021 IEEE Global Communications Conference (GLOBECOM)Pages 1–6https://doi.org/10.1109/GLOBECOM46510.2021.9685711Connected Automated Vehicle (CAV) is a promising paradigm for achieving safe and intelligent transportation systems. In CAV scenario, massive raw sensor data needs to be shared among vehicles under strict latency and high data rate constraints, which ...
- research-articleAugust 2021
Deep learning for tracing esophageal motility function over time
Computer Methods and Programs in Biomedicine (CBIO), Volume 207, Issue Chttps://doi.org/10.1016/j.cmpb.2021.106212Highlights- A high-efficiency feature manifestation method integrated high-resolution manometry with the bounding box coordinates of swallowing features from each ...
Background and Objective: Esophageal high-resolution manometry (HRM) is widely performed to evaluate the representation of manometric features in patients for diagnosing normal esophageal motility and motility disorders. ...
- doctoral_thesisJanuary 2021
Design of Radio Frequency Wireless Power Transfer Circuits
AbstractWireless power transfer (WPT) operating in radio frequency is very attractive in various scenarios, such as RFID, implant device, Internet-of-Things (IoT). It brings so much convenience to our life and work because it can discard the power cord ...
- doctoral_thesisJanuary 2021
Single-Stage Regulating Rectifiers for Wireless Power Transfer
AbstractWireless power transfer (WPT) has been embedded into billions of portable/wearable electronic devices now. It is preferable for the wireless power receiver to have high power conversion efficiency (PCE), small volume, less cost, and high-quality ...
- doctoral_thesisJanuary 2021
Vibration Energy Harvesting with High Power Density for Industrial Applications in Harsh Environment
AbstractThis research focuses on the design of the vibration energy harvester (VEH) with high power density for industrial applications in harsh environment.Initially, a spray coating method is developed to deposit an electret layer for VEH with enhanced ...
- research-articleNovember 2020
MTFuzz: fuzzing with a multi-task neural network
ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software EngineeringPages 737–749https://doi.org/10.1145/3368089.3409723Fuzzing is a widely used technique for detecting software bugs and vulnerabilities. Most popular fuzzers generate new inputs using an evolutionary search to maximize code coverage. Essentially, these fuzzers start with a set of seed inputs, mutate them ...
- doctoral_thesisJanuary 2020
Design and Analysis of Near-field Wireless Power Transfer Circuits and Systems
AbstractWireless power Transfer (WPT) via magnetic near-field is widely used to eliminate the use of bulky batteries in implantable medical devices (IMDs) and to cut the charging wire for portable devices. In these applications, high power efficiency, ...
- research-articleNovember 2019
Data-Enabled Digestive Medicine: A New Big Data Analytics Platform
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 18, Issue 3Pages 922–931https://doi.org/10.1109/TCBB.2019.2951555This paper presents a big data analystics platform for clinical research and practice in the Gastroenterology Department of Xiangya Hospital at Central South University in China. This platform features a comprehensive and systematic support of big data in ...
- articleOctober 2018
A Classification Learning Research based on Discriminative Knowledge-Leverage Transfer
International Journal of Ambient Computing and Intelligence (IJACI-IGI), Volume 9, Issue 4Pages 52–68https://doi.org/10.4018/IJACI.2018100104Current transfer learning models study the source data for future target inferences within a major view, the whole source data should be used to explore the shared knowledge structure. However, human resources are constrained, the source domain data is ...
- articleApril 2018
An Athletic Training Analysis System Research Based on Physiological Computation
International Journal of Healthcare Information Systems and Informatics (IJHISI-IGI), Volume 13, Issue 2Pages 54–67https://doi.org/10.4018/IJHISI.2018040104This article is about how physiological status data is more important for athlete support training and competition. The Physiological Plan system is designed and implemented in this article, and the system is divided into the hardware layer, the data ...
- articleDecember 2014
Feeling Blue? Go Online: An Empirical Study of Social Support Among Patients
Information Systems Research (INFORMS-ISR), Volume 25, Issue 4Pages 690–709https://doi.org/10.1287/isre.2014.0538In this paper, we investigate whether social support exchanged in an online healthcare community benefits patients' mental health. We propose a nonhomogeneous Partially Observed Markov Decision Process POMDP model to examine the latent health outcomes ...